qwen25_qwen3_diff_only_k6
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qwen25_qwen3_diff_only_k6
This repository contains k-means cluster subsets for training. Each subset is a config (name=cluster_X), backed by Parquet.
Load examples
from datasets import load_dataset
# Single cluster
ds0 = load_dataset("{username}/qwen25_qwen3_diff_only_k6", name="cluster_0")
# Specific cluster
ds3 = load_dataset("{username}/qwen25_qwen3_diff_only_k6", name="cluster_3")
# Or with data_files directly (optional alternative):
ds = load_dataset("{username}/qwen25_qwen3_diff_only_k6", data_files={"train": "cluster_3/*.parquet"}, split="train")
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Size of downloaded dataset files:
1.53 GB
Size of the auto-converted Parquet files:
1.53 GB
Number of rows:
250,000